CFP: PETS2021 Int’l Workshop on Performance Evaluation of Tracking and Surveillance
www.pets2021.net
 
In Cooperation with AVSS2021 (17^th IEEE Int’l Conference on Advanced Video and Signal-based Surveillance)
November 16-19, 2021
Virtual
 
The 2021 International Workshop on Performance Evaluation of Tracking and Surveillance (PETS'21) continues the series of highly successful PETS workshops held for over twenty years (AVSS'12, WVM'13, AVSS'14, AVSS'15, CVPR'16, CVPR'17, to name some of the most recent). The goal of the PETS workshop has been to foster the emergence of methodology for performance evaluation of tracking and surveillance.  This includes development of performance evaluation metrics as well as a quantitative evaluation of tracking and surveillance results based on a common dataset. PETS 2021 is sponsored by the EU Project FOLDOUT.

PETS 2021 introduces a new and exciting surveillance challenge, through-foliage detection and tracking. Such an application is important for (green) border surveillance. The specific tasks addressed are (1) through-foliage detection and fragmented occlusion, and (2) long-term tracking in natural environments, both of which have been received relatively limited attention in the computer vision community. Solutions to solve these tasks are currently unavailable. The aim of this challenge is to raise awareness to these tasks in the vision community and to foster appropriate solutions. The overall border surveillance challenge has significant impact for border authorities worldwide for enhancing border security operations. A corresponding dataset is provided for this challenge which covers the two tasks described above. 

Ultimately, the workshop challenge comes down first, to accurately detecting and/or tracking person(s) present in the surveillance scene. To this end, a range of methods could be applied from change detectors to object detectors to trackers. Understanding of the temporal history of the movement of the person(s) may help in accurate localisation and tracking, especially in partially or heavily occluded scenes. Secondly, the challenge recognises that simple bounding boxes may not always be appropriate for annotating the visual extent of the detected object (person). Hence this challenge also considers alternate object representational schemes.
 
Important Dates
 
September 15, 2021
Deadline for submission of results and methods' description
September 22, 2021
Notification of acceptance
November 2021 (TBC: between 16-19)
Challenge event (online)
 
Organisers
 
Organising Committee
 
James Ferryman (University of Reading) 
Roman Pflugfelder (Austrian Institute of Technology)
Georg Melzer-Venturi (EUTEMA)
Email: j.m.ferryman@reading.ac.uk
 
Technical Committee
Luis Patino (University of Reading)
Julian Pegoraro (Austrian Institute of Technology)
David Scheiber (Austrian Institute of Technology)
 
Submission Information
 
The workshop invites submissions which:
Process (i.e. apply one or more change/object detectors and/or trackers) on one or more of the provided video sequences and report results in a standardised format. The submission should include a short description of the methodology used and results submitted in XML format.
 
Please visit the workshop webpage at www.pets2021.net and click on the Authors Instructions to know the detailed description of the challenges set in PETS 2021 and click on the Datasets link to see a detailed description of the datasets and how to download them.

Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA. This prominent AI researcher internationally, will deliver the e-lecture:

‘Machine learning for medicine and healthcare’, on Tuesday 21^st September 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/event_cat/ai-lectures/

You can join for free using the zoom link:  https://authgr.zoom.us/j/95489189852 & Password: 148148

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

The lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe